Multisource spectral fusion combined with variable selection for rapid geographical origin discrimination of <i>Salvia miltiorrhiza</i>.

ABSTRACT: Salvia miltiorrhiza: is a widely used Chinese medicinal herb whose quality is significantly influenced by geographical origin. Establishing reliable methods for origin identification is therefore crucial for quality assurance. In this study, 67 batches of Salvia miltiorrhiza samples from Shandong, Shanxi, Henan, and Sichuan provinces were analyzed using near-infrared (NIR) and mid-infrared (MIR) spectroscopy combined with chemometric techniques. Six preprocessing methods were applied to optimize spectral data, and PLS-DA models were constructed based on the optimized results. To further improve model performance, uninformative variable elimination (UVE), competitive adaptive reweighted sampling (CARS), and random forest (RF) were employed for variable selection. Discriminant models

SUBMITTER: Jiao Y 

PROVIDER: S-EPMC12722808 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature